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ORCIDJohan A. Westerhuis
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2020 – today
- 2023
[j16]Balázs Erdos
, Johan A. Westerhuis, Michiel E. Adriaens, Shauna D. O'Donovan, Ren Xie, Cécile M. Singh-Povel, Age K. Smilde, Ilja C. W. Arts:
Analysis of high-dimensional metabolomics data with complex temporal dynamics using RM-ASCA+. PLoS Comput. Biol. 19(6) (2023)- 2021
- [j15]Torfinn S. Madssen, Guro F. Giskeødegård, Age K. Smilde, Johan A. Westerhuis:
Repeated measures ASCA+ for analysis of longitudinal intervention studies with multivariate outcome data. PLoS Comput. Biol. 17(11) (2021) - 2020
- [j14]Frans M. van der Kloet, Jeroen Buurmans, Martijs J. Jonker, Age K. Smilde, Johan A. Westerhuis:
Increased comparability between RNA-Seq and microarray data by utilization of gene sets. PLoS Comput. Biol. 16(9) (2020)
2010 – 2019
- 2019
- [j13]Yipeng Song, Johan A. Westerhuis, Nanne Aben, Magali Michaut, Lodewyk F. A. Wessels, Age K. Smilde:
Principal component analysis of binary genomics data. Briefings Bioinform. 20(1): 317-329 (2019) - [j12]Lin Shi, Johan A. Westerhuis, Johan Rosén, Rikard Landberg, Carl Brunius:
Variable selection and validation in multivariate modelling. Bioinform. 35(6): 972-980 (2019) - [i1]J. Camacho, Age K. Smilde, Edoardo Saccenti, Johan A. Westerhuis:
All Sparse PCA Models Are Wrong, But Some Are Useful. Part I: Computation of Scores, Residuals and Explained Variance. CoRR abs/1907.03989 (2019) - 2018
- [j11]K. Anton Feenstra, Sanne Abeln, Johan A. Westerhuis, Filipe Brancos dos Santos, Douwe Molenaar, Bas Teusink, Huub C. J. Hoefsloot, Jaap Heringa:
Training for translation between disciplines: a philosophy for life and data sciences curricula. Bioinform. 34(13): i4-i12 (2018) - [j10]Nanne Aben, Johan A. Westerhuis, Yipeng Song, Henk A. L. Kiers, Magali Michaut, Age K. Smilde, Lodewyk F. A. Wessels:
iTOP: inferring the topology of omics data. Bioinform. 34(17): i988-i996 (2018) - 2017
- [j9]Mari van Reenen, Johan A. Westerhuis, Carolus J. Reinecke, J. Hendrik Venter:
Metabolomics variable selection and classification in the presence of observations below the detection limit using an extension of ERp. BMC Bioinform. 18(1): 83:1-83:13 (2017) - 2016
- [j8]Mari van Reenen, Carolus J. Reinecke, Johan A. Westerhuis, J. Hendrik Venter:
Variable selection for binary classification using error rate p-values applied to metabolomics data. BMC Bioinform. 17: 33 (2016) - [j7]Frans M. van der Kloet, Patricia Sebastián-León, Ana Conesa, Age K. Smilde, Johan A. Westerhuis:
Separating common from distinctive variation. BMC Bioinform. 17(S-5): S195 (2016) - 2015
- [j6]Polina Reshetova, Age K. Smilde, Johan A. Westerhuis, Antoine H. C. van Kampen:
Using Petri nets for experimental design in a multi-organ elimination pathway. Comput. Biol. Medicine 63: 19-27 (2015) - 2014
- [j5]Dicle Hasdemir, Huub C. J. Hoefsloot, Johan A. Westerhuis, Age K. Smilde:
How informative is your kinetic model?: using resampling methods for model invalidation. BMC Syst. Biol. 8: 61 (2014) - [j4]Polina Reshetova, Age K. Smilde, Antoine H. C. van Kampen, Johan A. Westerhuis:
Use of prior knowledge for the analysis of high-throughput transcriptomics and metabolomics data. BMC Syst. Biol. 8(S-2): S2 (2014)
2000 – 2009
- 2007
- [j3]María José Nueda, Ana Conesa, Johan A. Westerhuis, Huub C. J. Hoefsloot, Age K. Smilde, Manuel Talón, Alberto Ferrer:
Discovering gene expression patterns in time course microarray experiments by ANOVA-SCA. Bioinform. 23(14): 1792-1800 (2007) - [j2]Daniel J. Vis, Johan A. Westerhuis, Age K. Smilde, Jan van der Greef:
Statistical validation of megavariate effects in ASCA. BMC Bioinform. 8 (2007) - 2006
- [j1]Henk-Jan Ramaker, Eric N. M. van Sprang, Johan A. Westerhuis, Age K. Smilde:
Single channel event (SCE) for managing sensor failures in MSPC. Comput. Chem. Eng. 30(6-7): 961-969 (2006)
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